This page presents additional analysis of survey data collected by the Zimbabwe Red Cross (ZRCS) in the fall 2023, covering questions around trust as part of the Community Trust Index project.

Sampling

Coverage

The sampling focused on areas around three health centers and clinics in the Shamva district. Volunteers from the ZRCS were recruited to conduct the data collection. The sampling approach can be considered a simple random sample, where a random walk approach has been used. The selection of the clinics and health center was made to ensure availability of volunteers and due to logistical reasons.

Therefore, all the data should be regarded as indicative, and it is strongly advised against presenting this data as representative of the entire country of Zimbabwe, as the convenience sampling approach of the clinics taken does not allow for drawing generalizations for the population in Zimbabwe, despite the random sample of people around the clinics and health centers.

For the following demographic data, we show the full data set including people who indicated to volunteered for the ZRCS as well as those who benefited from the ZRCS.

Gender and Age

The following data shows the breakdown of the sample by gender and age. The male/female ratio of the sample (0.46) shows an important over-representation of females compared to the national population distribution in Zimbabwe(0.82).

Compared to the overall Zimbabwe population, in the sample women, especially older women are over-represented, while younger people and males are under-represented. However, the area around the clinics is rural and no demographics data is available on such focused area of the country.

Education

When it comes to education, the people in the sample have a higher share of no formal education compared to the general population.

Employment

Employment around the clinics is dominated by irregular and informal work. Data on employment for the area or the country as a whole could not be sourced.

Relationship with Red Cross

Overall, the numbers of people in the sample who requested support and as well as those who volunteered are in a range that can be expected from the general population. ***

Results

Score distribution

Distribution of mean scores for values and competencies per demographic questions

When looking at the average raw scores for all the competencies and value question, we can produce a number of breakdowns using the presented demographic variables.

## # A tibble: 42 × 5
##    variable_value  mean     n variable  trust_value
##    <chr>          <dbl> <int> <fct>     <chr>      
##  1 Female          8.54   304 Gender    trust      
##  2 Male            8.34   139 Gender    trust      
##  3 Female          6.80   304 Gender    values     
##  4 Male            6.73   139 Gender    values     
##  5 18-29           8.33    73 Age Group trust      
##  6 30-39           8.38   113 Age Group trust      
##  7 40-49           8.58    91 Age Group trust      
##  8 50-59           8.76    90 Age Group trust      
##  9 60 and Above    8.30    76 Age Group trust      
## 10 18-29           6.69    73 Age Group values     
## # ℹ 32 more rows

Upon analyzing the data, we observe that there are not major variations in the results based on age, gender, previous beneficiary status or volunteer status. The largest variations we see for the employment status variable. However, we do not have data on employment status for the survey location, which we could use for post-stratification.

Overall score

The overall results for the trust question on competencies show very little variation, only the question asking about the accessibility of the Zimbabwe Red Cross Society had a lower mean value than all the other question on competencies. We see slightly more variation in terms of the questions on values where items on transparency, and the two questions on neutrality show a lower mean (4.,0.9 and 1.0 respectively on a 0-10 scale).

Score per profile

When looking at the sub-groups of people who volunteered and beneficiaries as well as others, we see that people who did not volunteer nor were beneficiaries in the past provide the lowest ranking on all the questions on competencies. When looking at value question, results are more mixed and especially questions on transparency and neutrality, volunteers and beneficiaries provide lower rankings than who did not volunteer nor received support in the past. However,given the small sample size of volunteers and beneficiaries, some of these differences might not be significant.

Download Summary Excel File

Significance testing

When checking for significant differences between the groups we use a t-test to compare means of the competency and value questions, for all the questions, the differences in the results for the three groups indeed not significant for most variables due to the small sample size. The table shows whether a results for beneficiaries, volunteers and others are significantly different form each other. We used a 95% confidence level and corrected the p-values using a multiple comparisons correction. Questions on neutrality and transparency are significantly different for two of the three groups.

Dimension Drivers Volunteer-Other Volunteer-Beneficiary Benficiary-Other
Competency Responsiveness No No No
Competency Effectiveness No No No
Competency Understanding No No Yes
Competency Accessibility No No No
Competency Feedback No No No
Competency Information Yes No No
Competency Capacity No No No
Value Fairness No No Yes
Value Humanity No No No
Value Inclusiveness No No No
Value Engagement No No No
Value Trust the community No No No
Value Accountability No No No
Value Transparency Yes Yes No
Value Independence Yes No Yes
Value Neutrality Yes No Yes